A Prediction Method of CAN Data Cache Switching for Autonomous Mobility
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- YOSHIDA Masahiro
- Chuo University
Bibliographic Information
- Other Title
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- 自動運転車のためのCANデータキャッシュ切り替え予測方式
Abstract
Interest has recently been growing in collecting CAN data from autonomous vehicles in a Cyber-Physical System to achieve advanced self-driving. In this paper, I propose a prediction method of CAN data cache switching for CAN data collection infrastructure using MEC (Multi-access Edge Computing). The proposed method maximizes compression efficiency and QoE by predicting the mobility pattern of an autonomous vehicle using a machine learning model and replacing the CAN data cache on the optimal MEC server in advance. As a result of simulation evaluation, the proposed method can predict the optimal MEC server with 89% accuracy and improve the cache hit ratio by 20%.
Journal
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- 電子情報通信学会論文誌B 通信
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電子情報通信学会論文誌B 通信 J107-B (3), 107-116, 2024-03-01
電子情報通信学会
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Details 詳細情報について
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- CRID
- 1390862179308778112
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- ISSN
- 18810209
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed